Incidence and risk factors for osteonecrosis of the femoral head in five hundred and ten sickle cell disease paediatric patients.

PURPOSE: Osteonecrosis of the femoral head (ONFH) is a degenerative and progressive disorder that mainly affects people with sickle cell disease (SCD). Herein, we aimed to search for a better understanding of markers that can act as risk factors for ONFH in patients with SCD. METHODS: We conducted a retrospective study including 510 SCD patients followed over 23 years. Patients were divided into the ONFH group and the no-ONHF control group. Univariate and multivariate logistic regression analyses were performed to identify risk factors. RESULTS: Among 510 SCD patients, 41(8%) were diagnosed with ONFH at a mean age of 167 months ± 64 (72-288). The cumulative incidence of ONHF increased from 2.3% at ten years to 18.3% at 20 years of age. The radiological grade 3 ONHF was predominant. No significant differences in sex, age at diagnosis of SCD, and Hb genotype were found between groups. The patient age and the time since diagnosis of SCD were statistically higher in patients with ONHF in univariate and multivariate analysis. ONHF was also associated with higher creatinine level (p = 0.001) lower LDH level (p = 0.006), and higher number of vaso-occlusive crisis (VOC)/patient/year (p < 0.001). The cumulative incidence of ONHF in patients having more than 3 VOC/year was significantly higher (43% versus 18.9% at 20 years, p < 0.001). In addition, infections, gallstones, growth delay, delayed initiation of hydroxyurea, and a higher transfusion rate were significantly associated with ONFH. CONCLUSION: These findings confirm that ONFH is closely related to the age, severity, and duration of SCD. Better management of this disease prevents acute and chronic complications, and early screening of the ONFH as soon as the first signs of the severity of the disease are detected provides a better functional prognosis.

Clinical features and predictors of osteoarticular manifestations in common variable immunodeficiency.

INTRODUCTION: This study aimed to assess osteoarticular manifestations in patients with common variable immunodeficiency (CIVD) and to identify the predictive factors. METHODS: This was a retrospective and prognostic study conducted in the pediatrics: immuno-hematology and stem cell transplantation department, including patients who fit the definition of CVID. A Cox model analysis was used to identify predictive factors. RESULTS: A total of 36 patients were enrolled. Osteoarticular involvement was noted in 15 patients (42%) with a cumulative incidence of 90% after a median follow-up of 25 years. Non-infectious manifestations were reported in 14 patients (39%). The cumulative risk of inflammatory or autoimmune osteoarticular etiology was 74%. Well-characterized rheumatic diseases were retained in six patients and unlabeled autoimmune or inflammatory mechanism in five cases. Bone mineral density revealed osteoporosis in six cases leading to a cumulative risk of degenerative complications of 72%. The cumulative incidence of infectious complications was 17%. In multivariate analysis, predictors of osteoarticular complications were low body weight (HR = 8.67, CI: 1.496-50.278, p = 0.01) and hepatomegaly at diagnosis (HR = 6.2, CI: 1.537-25.075, p = 0.01). Reduced CD4 cells rate < 600 cells/mm3 and hepatomegaly were predictors of autoimmune or inflammatory complications, while chronic diarrhea and iron deficiency were associated with degenerative manifestations. CONCLUSIONS: Osteoarticular manifestations have emerged as a real health problem for CVID patients. Risk increases with low body weight, hepatomegaly, chronic diarrhea, iron deficiency, and CD4 cells rate under 600 cell/mm3. Elucidating the mechanisms of these complications in CVID is important for developing preventive strategies. Key Points • This retrospective and prognostic study described the clinical characteristics of osteoarticular manifestations in 36 patients with CVID to ensure better recognition and understanding of this association by clinicians. • Identification of predictive factors of osteoarticular complications according to its etiology is crucial to establish appropriate, optimal and early management of patients at risk.